{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/to-data","entry":"to_data","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":1,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":4,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":3},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2406.00943","paper":"/paper/state-space-models-on-temporal-graphs-a-first","title":"State Space Models on Temporal Graphs: A First-Principles Study","date":"2024-06-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"EdisonLeeeee/GraphSSM","path":"graphssm/ssm_tmall.py","file_url":"https://github.com/EdisonLeeeee/GraphSSM/blob/HEAD/graphssm/ssm_tmall.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3d125024d26e932f","mcp_get_code":{"code_sha256":"3d125024d26e932f"}},{"arxiv_id":"2010.02089","paper":"/paper/copulagnn-towards-integrating-1","title":"CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks","date":"2020-10-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jiaqima/CopulaGNN","path":"data.py","file_url":"https://github.com/jiaqima/CopulaGNN/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"719f2be78789a0ab","mcp_get_code":{"code_sha256":"719f2be78789a0ab"}},{"arxiv_id":"2005.03687","paper":"/paper/cobra-contrastive-bi-modal-representation","title":"COBRA: Contrastive Bi-Modal Representation Algorithm","date":"2020-05-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ovshake/cobra","path":"utils.py","file_url":"https://github.com/ovshake/cobra/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"27824dadcf0c4be5","mcp_get_code":{"code_sha256":"27824dadcf0c4be5"}},{"arxiv_id":"2001.02890","paper":"/paper/deep-plastic-surgery-robust-and-controllable","title":"Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches","date":"2020-01-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"vita-group/deepps","path":"src/utils.py","file_url":"https://github.com/vita-group/deepps/blob/HEAD/src/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"17086a0a1dc40e8f","mcp_get_code":{"code_sha256":"17086a0a1dc40e8f"}},{"arxiv_id":"1905.01354","paper":"/paper/controllable-artistic-text-style-transfer-via","title":"Controllable Artistic Text Style Transfer via Shape-Matching GAN","date":"2019-05-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"TAMU-VITA/ShapeMatchingGAN","path":"src/utils.py","file_url":"https://github.com/TAMU-VITA/ShapeMatchingGAN/blob/HEAD/src/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"17086a0a1dc40e8f","mcp_get_code":{"code_sha256":"17086a0a1dc40e8f"}}]}